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ultralytics 8.0.41 TF SavedModel and EdgeTPU export (#1034)

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docs/callbacks.md
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## Callbacks
Ultralytics framework supports callbacks as entry points in strategic stages of train, val, export, and predict modes. Each callback accepts a `Trainer`, `Validator`, or `Predictor` object depending on the operation type. All properties of these objects can be found in Reference section of the docs.
Ultralytics framework supports callbacks as entry points in strategic stages of train, val, export, and predict modes.
Each callback accepts a `Trainer`, `Validator`, or `Predictor` object depending on the operation type. All properties of
these objects can be found in Reference section of the docs.
## Examples
### Returning additional information with Prediction
In this example, we want to return the original frame with each result object. Here's how we can do that
```python
def on_predict_batch_end(predictor):
# results -> List[batch_size]
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```
## All callbacks
Here are all supported callbacks.
### Trainer
`on_pretrain_routine_start`
`on_pretrain_routine_end`
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`teardown`
### Validator
`on_val_start`
`on_val_batch_start`
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`on_val_end`
### Predictor
`on_predict_start`
`on_predict_batch_start`
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`on_predict_end`
### Exporter
`on_export_start`
`on_export_end`